Our goal is to strengthen the brand in Spain. We are looking for an expert to work as Data Engineer
- Extensive hands-on experience developing enterprise-grade solutions in Python, with advanced expertise in Pandas and NumPy.
- Strong background in data engineering, including data ingestion, preprocessing, cleansing, transformation, validation, and enrichment.
- Design and implementation of scalable and maintainable ETL/ELT pipelines.
- Development of reusable frameworks and components for large-scale data processing.
- Optimization of data pipelines for performance, reliability, and operational efficiency.
- Application of software engineering best practices, including clean code, modular design, testing, and code reviews.
- Experience working with large and complex datasets in production environments.
- Ability to transform analytical prototypes into production-ready solutions.
- Strong understanding of DevOps principles and software delivery lifecycle.
- Design and maintenance of CI/CD pipelines for automated build, test, deployment, and release processes.




- Experience creating and managing Python deployment artifacts, packages, and libraries.
- Implementation of monitoring, logging, alerting, and observability capabilities for production services.
- Experience supporting and troubleshooting applications in production environments.
- Familiarity with cloud platforms (Azure and/or other cloud environments)
- Strong stakeholder management and ability to collaborate with multidisciplinary teams.
- Results-oriented mindset focused on scalability, robustness, security, and operational excellence.
- Proven ability to take solutions end-to-end, from development through industrialization, deployment, and ongoing support.
- Agile methodology

About HCLTech:

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engin

📌 Data Engineer (Madrid)
🏢 HCLTech
📍 Madrid